Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data

In this article, a four parameter lifetime model called the Topp–Leone modified Weibull distribution is proposed. The suggested distribution can be considered as an alternative to Kumaraswamy Weibull, generalized modified Weibull, extend odd Weibull Lomax, Weibull-Lomax, Marshall-Olkin alpha power e...

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Main Authors: Salem A. Alyami, Ibrahim Elbatal, Naif Alotaibi, Ehab M. Almetwally, Hassan M. Okasha, Mohammed Elgarhy
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/20/10431
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author Salem A. Alyami
Ibrahim Elbatal
Naif Alotaibi
Ehab M. Almetwally
Hassan M. Okasha
Mohammed Elgarhy
author_facet Salem A. Alyami
Ibrahim Elbatal
Naif Alotaibi
Ehab M. Almetwally
Hassan M. Okasha
Mohammed Elgarhy
author_sort Salem A. Alyami
collection DOAJ
description In this article, a four parameter lifetime model called the Topp–Leone modified Weibull distribution is proposed. The suggested distribution can be considered as an alternative to Kumaraswamy Weibull, generalized modified Weibull, extend odd Weibull Lomax, Weibull-Lomax, Marshall-Olkin alpha power extended Weibull and exponentiated generalized alpha power exponential distributions, etc. The suggested model includes the Topp-Leone Weibull, Topp-Leone Linear failure rate, Topp-Leone exponential and Topp-Leone Rayleigh distributions as a special case. Several characteristics of the new suggested model including quantile function, moments, moment generating function, central moments, mean, variance, coefficient of skewness, coefficient of kurtosis, incomplete moments, the mean residual life and the mean inactive time are derived. The probability density function of the Topp–Leone modified Weibull distribution can be right skewed and uni-modal shaped but, the hazard rate function may be decreasing, increasing, J-shaped, U-shaped and bathtub on its parameters. Three different methods of estimation as; maximum likelihood, maximum product spacing and Bayesian methods are used to estimate the model parameters. For illustrative reasons, applications of the Topp–Leone modified Weibull model to four real data sets related to medical and engineering sciences are provided and contrasted with the fit reached by several other well-known distributions.
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spelling doaj.art-ad4a5065619e4b888608bb0ac87b5f132023-11-23T22:44:32ZengMDPI AGApplied Sciences2076-34172022-10-0112201043110.3390/app122010431Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering DataSalem A. Alyami0Ibrahim Elbatal1Naif Alotaibi2Ehab M. Almetwally3Hassan M. Okasha4Mohammed Elgarhy5Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi ArabiaDepartment of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi ArabiaDepartment of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi ArabiaFaculty of Business Administration, Delta University of Science and Technology, Gamasa 11152, EgyptDepartment of Statistics, Faculty of Science, King AbdulAziz University, P.O. Box 80203, Jeddah 21589, Saudi ArabiaThe Higher Institute of Commercial Sciences, Al Mahalla Al Kubra 31951, EgyptIn this article, a four parameter lifetime model called the Topp–Leone modified Weibull distribution is proposed. The suggested distribution can be considered as an alternative to Kumaraswamy Weibull, generalized modified Weibull, extend odd Weibull Lomax, Weibull-Lomax, Marshall-Olkin alpha power extended Weibull and exponentiated generalized alpha power exponential distributions, etc. The suggested model includes the Topp-Leone Weibull, Topp-Leone Linear failure rate, Topp-Leone exponential and Topp-Leone Rayleigh distributions as a special case. Several characteristics of the new suggested model including quantile function, moments, moment generating function, central moments, mean, variance, coefficient of skewness, coefficient of kurtosis, incomplete moments, the mean residual life and the mean inactive time are derived. The probability density function of the Topp–Leone modified Weibull distribution can be right skewed and uni-modal shaped but, the hazard rate function may be decreasing, increasing, J-shaped, U-shaped and bathtub on its parameters. Three different methods of estimation as; maximum likelihood, maximum product spacing and Bayesian methods are used to estimate the model parameters. For illustrative reasons, applications of the Topp–Leone modified Weibull model to four real data sets related to medical and engineering sciences are provided and contrasted with the fit reached by several other well-known distributions.https://www.mdpi.com/2076-3417/12/20/10431Topp–Leone distributionmodified Weibull distributionmomentsmoment generating functionmaximum likelihood approachmaximum product spacing approach
spellingShingle Salem A. Alyami
Ibrahim Elbatal
Naif Alotaibi
Ehab M. Almetwally
Hassan M. Okasha
Mohammed Elgarhy
Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data
Applied Sciences
Topp–Leone distribution
modified Weibull distribution
moments
moment generating function
maximum likelihood approach
maximum product spacing approach
title Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data
title_full Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data
title_fullStr Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data
title_full_unstemmed Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data
title_short Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data
title_sort topp leone modified weibull model theory and applications to medical and engineering data
topic Topp–Leone distribution
modified Weibull distribution
moments
moment generating function
maximum likelihood approach
maximum product spacing approach
url https://www.mdpi.com/2076-3417/12/20/10431
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